def load_data(self): headers, regex = self.generate_logformat_regex(self.log_format) self.df_log = self.log_to_dataframe(os.path.join(self.path, self.logName), regex, headers, self.log_form代码解释
时间: 2023-06-09 16:08:33 浏览: 51
这段代码定义了一个名为load_data的方法。该方法用来加载日志文件,并将其转换为数据框形式。
在方法中,调用了generate_logformat_regex方法来生成日志格式的正则表达式和标题。然后调用log_to_dataframe方法将日志文件转换为数据框形式,传入的参数包括日志文件路径、正则表达式、标题和日志格式。最后将结果存储在self.df_log中。
相关问题
帮我把一下代码设置一个合理请求头,并加入一个延时import requests import os from bs4 import BeautifulSoup class NovelDownloader: def __init__(self, root_url): self.root_url = root_url self.book_list = [] self.chapter_list = [] def get_url(self, url): while True: try: res = requests.get(url) if res.status_code == 200: print("页面获取成功!") return res.text else: print("页面返回异常!", res.status_code) except: print("页面获取错误!") def get_book_list(self): res = self.get_url(self.root_url) html = BeautifulSoup(res, "html.parser") a_list = html.find_all("a", {"class": "name"}) for a in a_list: self.book_list.append(a["href"]) self.book_list = [self.root_url + i for i in self.book_list] self.book_list.remove('http://www.biquge5200.cc/') def get_chapter_list(self, url): res = self.get_url(url) html = BeautifulSoup(res, "html.parser") a_list = html.find_all("a", {"class": "chapter"}) for a in a_list: self.chapter_list.append((a["href"], a.text.replace("\n", ""))) def get_content(self, chapter): url = self.root_url + chapter[0] print(url) book_name = chapter[0].split("/")[1] print(book_name) if not os.path.exists(book_name): os.mkdir(book_name) res = self.get_url(url) html = BeautifulSoup(res, "html.parser") content = html.find("div", {"id": "content"}).text print(content) path = os.path.join(book_name, chapter[1]) with open(path, "w", encoding="utf8") as f: f.write(content) def main(self): self.get_book_list() for book in self.book_list: self.get_chapter_list(book) for chapter in self.chapter_list: self.get_content(chapter) if __name__ == '__main__': root_url = "http://www.biquge5200.cc/" nd = NovelDownloader(root_url) nd.main()
好的,我可以帮你添加一个合理的请求头和延时。在 `get_url` 方法中,你可以添加一个请求头字典,来模拟浏览器发送请求。同时,在每次请求后添加一个时间延时,避免频繁请求被网站屏蔽。
修改后的代码如下所示:
```python
import requests
import os
import time
from bs4 import BeautifulSoup
class NovelDownloader:
def __init__(self, root_url):
self.root_url = root_url
self.book_list = []
self.chapter_list = []
self.headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3"
} # 添加请求头
def get_url(self, url):
while True:
try:
res = requests.get(url, headers=self.headers)
if res.status_code == 200:
print("页面获取成功!")
return res.text
else:
print("页面返回异常!", res.status_code)
except:
print("页面获取错误!")
time.sleep(1) # 添加延时
def get_book_list(self):
res = self.get_url(self.root_url)
html = BeautifulSoup(res, "html.parser")
a_list = html.find_all("a", {"class": "name"})
for a in a_list:
self.book_list.append(a["href"])
self.book_list = [self.root_url + i for i in self.book_list]
self.book_list.remove('http://www.biquge5200.cc/')
def get_chapter_list(self, url):
res = self.get_url(url)
html = BeautifulSoup(res, "html.parser")
a_list = html.find_all("a", {"class": "chapter"})
for a in a_list:
self.chapter_list.append((a["href"], a.text.replace("\n", "")))
def get_content(self, chapter):
url = self.root_url + chapter[0]
print(url)
book_name = chapter[0].split("/")[1]
print(book_name)
if not os.path.exists(book_name):
os.mkdir(book_name)
res = self.get_url(url)
html = BeautifulSoup(res, "html.parser")
content = html.find("div", {"id": "content"}).text
print(content)
path = os.path.join(book_name, chapter[1])
with open(path, "w", encoding="utf8") as f:
f.write(content)
def main(self):
self.get_book_list()
for book in self.book_list:
self.get_chapter_list(book)
for chapter in self.chapter_list:
self.get_content(chapter)
if __name__ == '__main__':
root_url = "http://www.biquge5200.cc/"
nd = NovelDownloader(root_url)
nd.main()
```
这样就可以更好地模拟浏览器发送请求,避免被网站屏蔽。另外,可以根据需要调整延时时间,以达到更好的效果。
if self.data_sheet.cell(row=1, column=1).value is None: self.data_sheet.cell(row=1, column=1, value="PEGA-料号") if self.data_sheet.cell(row=1, column=2).value is None: self.data_sheet.cell(row=1, column=2, value="數量") if self.data_sheet.cell(row=1, column=3).value is None: self.data_sheet.cell(row=1, column=3, value="日期") if self.data_sheet.cell(row=1, column=4).value is None: self.data_sheet.cell(row=1, column=4, value="時間") if self.data_sheet.cell(row=1, column=5).value is None: self.data_sheet.cell(row=1, column=5, value="班別") if self.data_sheet.cell(row=1, column=6).value is None: self.data_sheet.cell(row=1, column=6, value="登記人") if self.data_sheet.cell(row=1, column=7).value is None: self.data_sheet.cell(row=1, column=7, value="單價") if self.data_sheet.cell(row=1, column=8).value is None: self.data_sheet.cell(row=1, column=8, value="品名") if self.data_sheet.cell(row=1, column=9).value is None: self.data_sheet.cell(row=1, column=9, value="儲位") if self.data_sheet.cell(row=1, column=10).value is None: self.data_sheet.cell(row=1, column=10, value="入庫單號")這怎麽優化
可以将这段代码改写为一个循环,避免重复的 if 语句。例如:
```
headers = ["PEGA-料号", "數量", "日期", "時間", "班別", "登記人", "單價", "品名", "儲位", "入庫單號"]
for col in range(1, 11):
if self.data_sheet.cell(row=1, column=col).value is None:
self.data_sheet.cell(row=1, column=col, value=headers[col-1])
```
这样代码更简洁,也更易于维护。
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